Xiangchen Song

About

Xiangchen Song is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Xiangchen Song has authored 12 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Xiangchen Song’s work include Topic Modeling (6 papers), Recommender Systems and Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). Xiangchen Song is often cited by papers focused on Topic Modeling (6 papers), Recommender Systems and Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). Xiangchen Song collaborates with scholars based in United States, China and Hong Kong. Xiangchen Song's co-authors include Jiawei Han, Jieyu Zhang, Jing Bai, Ying Guo and Yujing Wang and has published in prestigious journals such as IEEE Transactions on Wireless Communications.

In The Last Decade

Fields of papers citing papers by Xiangchen Song

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Xiangchen Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiangchen Song may publish in the future.

Countries citing papers authored by Xiangchen Song

Since Specialization

Citations

This map shows the geographic impact of Xiangchen Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiangchen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangchen Song more than expected).

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